Preface

statistics


Hi there!

For this research I am going to look at film composer and music producer Ludwig Göransson. I took data on nine of his latest film-scores from the Spotify API, and combined all the findings in this Correlalogram. Because his database is quite big, I need to zoom in to only certain playlists and variables. I am curious if I can find some significant relations between different variables, to build my story around. As you can see already the variable accousticness has two negative (significant) correlations. In the following pages I’m going to research what these changes mean and if I can show them in different ways.

Significance?

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Accousticness? So what actually is accousticness? It’s not that difficult, and quite self-explanatory. It means how accoustic a track is.

Analysis

Main


Again looking at acousticness, you’ll see a significant difference between Fruitvale station (Romance) and Tenet (Action). I used this chart to pick out certain tracks that will be analysed on a deeper level later on.

Introduction


As you can see Black Panther’s has some really interesting findings. For example, “Kilmonger challenge” has one of the highest loudness (as seen in the point size), and “Kilmonger” has one of the highest Instrumentalness value. Another interesting finding is the song “Rainy night in Talin” from Tenet. This song has a really high Acousticness, high energy and a BPM of 130. The findings above are on the ’’action/superhero" spectrum, and I want to compare these with songs from the opposite genre “Romance”.

Sci-fi or action?


Genres

Ludde

Ludwig Ludwig


chorddiagram

Saturation


Chromagram kilmonger

Dynamic Time Warping


Saturation

Cepstograms


Self-Similarty Matrices


What key?

Where are my keys?

Presto

Wakanda


For tempo i’ve chosen the song Kilmonger from the Black Panther’s score. I think this was an interesting song to analyse because of its different layers it contains. In the beginning you can hear a flute, which represents kilmonger’s African background. The flute is pitched down and escalates into chaos. The next layer are the strings and they go up in arpeggios. These escalate and grow bigger. Then suddenly the music cuts out and 808 drums start to kick. It feels dangerous and they come out of nowhere. They have a really low bass and sound like heartbeats. The last layer is the trap beat, representing him coming from Oakland.

’’ note / I want to show these layers with lines in the plots and be more specific about what happens with the changes in tempo.

Classification and clustering

Classification

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Test

Timbre